[使用基于临床和磁共振特征的机器学习算法预测患有多变性心肌病的患者新发性心力衰竭事件的研究]
1Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing100029, China.
Zhonghua xin xue guan bing za zhi
|November 18, 2024
概括
机器学习模型整合了临床和心磁共振 (CMR) 成像特征,有效地预测了缩性心肌病 (HCM) 患者的心力衰竭事件. 随机森林模型在本研究中显示出最好的预测性能.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 机器学习 机器学习
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